VP, Counterparty Credit Risk Quantitative Analyst

JefferiesNew York, NY
$185,000 - $200,000

About The Position

We are seeking a highly skilled quantitative professional to join the Risk Analytics group to develop and manage analytics for counterparty credit risk models focused on fixed income products, including repos, security lend/borrow, mortgages, and interest rate derivatives. The candidate will contribute to model development across the full model lifecycle, from methodology and design to implementation, validation, and ongoing performance monitoring. The successful candidate will also provide quantitative risk analysis to support day-to-day counterparty credit risk management.

Requirements

  • Master’s Degree in a quantitative discipline; PhD preferred.
  • A minimum of 3–5 years of experience in counterparty credit risk modeling.
  • Deep understanding of pricing and risk calculations for financial products.
  • Strong analytical skills, with the ability to interpret complex quantitative models and translate business requirements into robust library design, code development, and integration into IT systems.
  • Proficiency in Python and other programming languages, with strong data-handling skills in SQL.
  • Strong project management, organizational, and stakeholder communication skills.
  • Excellent written communication skills, with the ability to produce clear, precise, and compliant model documentation.

Nice To Haves

  • Familiarity with Numerix and/or Bloomberg platforms is preferred.

Responsibilities

  • Develop and implement analytics to support counterparty credit risk management.
  • Design and Build infrastructure to consolidate counterparty credit risk models across systems.
  • Conduct quantitative research to implement model changes, enhancements, and remediations.
  • Design and develop analytical tools and dashboards to enhance risk transparency and decision-making.
  • Build and maintain model performance monitoring, benchmarking, and backtesting frameworks.
  • Assess methodologies and processes to identify potential weaknesses and evaluate risk materiality.
  • Partner with stakeholders across business, risk, technology, and other functional teams to ensure effective model development, governance, and usage

Benefits

  • medical, dental & vision coverage
  • 401(k)
  • life, accident, and disability insurance
  • wellness programs
  • paid time off packages that include planned time off (e.g., vacation), unplanned time off (e.g., sick leave), and paid holidays
  • paid parental leave
  • annual discretionary incentive and retention bonus
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